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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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will investigate whether these interactions can be exploited to create a new MR contrast mechanism that is particularly sensitive to microscopic susceptibility-induced field variations, such as those
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. Experience with computational solid mechanics, computational soft tissue mechanics, or a closely related mechanics field. Well-developed coding expertise in Python, Julia, C++, Fortran, or a similar scientific
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activity/research for the traineeship The rapid increase in the number of satellites and launch vehicles in Earth orbit in recent years has heightened concerns about space debris and the need to define
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Join the M-WAVE team to develop a forward operator for land data assimilation. Job description Challenge: Understanding the climatic drivers of crop failure, monitoring crop growth and implementing
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construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded GRID4CITY project, within the Driving Urban Transitions (DUT) Partnerships program call 2025-26
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to shaping the next steps of the research. As a postdoctoral researcher, you will: Use existing computational tools and research foundations to investigate promising concrete architectures. Design and perform
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braking energy, smart energy management; b) mobile charging solutions for zero-emission construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded
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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love for linking models to field data. Solid understanding of seismic wave fields and their mechanics